Arctos, an online collaborative museum collection management solution, is capable of providing its users with many metrics. Collection statistics, reporting features, data quality feedback and discovery tools aid Arctos users in improving data and quantifying collections use and impact. But how many of these metrics are metrics of success? Success metrics require up-front planning and ongoing development as indicators of success change and expand over time depending upon community, stakeholders, and institutional norms. Many of the metric tools available in Arctos were created by request of an individual collection in isolation from other tools and often placed in proximity to the data table(s) with which they are associated (e.g., transactions, citations), over time becoming scattered across the Arctos landscape. In this presentation, we will demonstrate some of the tools developed, either purposefully or by accident by the Arctos community and discuss the ongoing development of a central collection dashboard. By bringing performance metrics together in one place we hope to help Arctos collections better comprehend, visualize, and communicate their holdings and activities, both quantitatively and qualitatively. The dashboard will also compile data quality improvement opportunities to participating collections, including automated suggestions to enhance data integrity and linkages. We will also seek advice from the audience on which metrics might be most useful to the community in general or what metrics might be missing.